Evidence map›Paper›PMID 24550083›Full record

SynthesisJournal of medical Internet research2014

Are health behavior change interventions that use online social networks effective? A systematic review.

Carol A Maher, Lucy K Lewis, Katia Ferrar, Simon Marshall, Ilse De Bourdeaudhuij, Corneel Vandelanotte

4 registry-linked trialsOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 337 papers, 26 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
337citing papers in PubMed, 26 pooled it
238.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03443206 nacompletednot on this mapstarted 2020, after this paper: background citation

Loves Company: Combatting Emotional Disturbance in the Digital Age

TypeinterventionalSponsorNorthwell HealthRan2020 to 2021Enrolled212ConditionsAdolescent - Emotional ProblemArmsanonymous social support, psychoeducation, online resources
NCT03961061 nacompletednot on this mapstarted 2020, after this paper: background citation

Increased Monitoring of Physical Activity and Calories With Technology

TypeinterventionalSponsorWake Forest University Health SciencesRan2020 to 2022Enrolled28ConditionsWeight Change, Body, Behavior, Health, Obesity, Childhood, Parent-Child RelationsArmsBrenner mFIT (standard care), Brenner mFIT (standard care plus mobile health components)
NCT06922201 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

SUstaiNable inteRventions and Healthy behavIours for adoleScent Primary prEvention of Cancer With Digital Tools. Study 1: SmartCoach

TypeinterventionalSponsorBiobizkaia Health Research InstituteRan2025 to 2028Enrolled3,500ConditionsCancerArmsSmartCoach
NCT06931847 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

SUstaiNable inteRventions and Healthy behavIours for adoleScent Primary prEvention of Cancer With Digital Tools. Study 2: Multiple Behaviour Intervention Platform

Typeobservational_patient_registrySponsorBiobizkaia Health Research InstituteRan2025 to 2028Enrolled4,000ConditionsCancerArmsSUNRISE program
3 · Its place in the literature

Who cites it

337 citing papers in PubMed, 26 syntheses or guidelines pooled it, 792 citations in OpenAlex.

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  2. Identifying Social Media-Based Interactions That Help Adults to Adhere to Weight Loss Goals: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  18. Social media, body image and food choices in healthy young adults: A mixed methods systematic review.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2020
    Pooled it
  19. The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
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277 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Carol A MaherHealth and Use of Time Group, University of South Australia, Adelaide, Australia. carol.maher@unisa.edu.au.
Lucy K Lewis
Katia Ferrar
Simon Marshall
Ilse De Bourdeaudhuij
Corneel Vandelanotte
University of South Australia · AUCentral Queensland University · AUGhent University · BEUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe dramatic growth of Web 2.0 technologies and online social networks offers immense potential for the delivery of health behavior change campaigns. However, it is currently unclear how online social networks may best be harnessed to achieve health behavior change.

objectiveThe intent of the study was to systematically review the current level of evidence regarding the effectiveness of online social network health behavior interventions.

methodsEight databases (Scopus, CINAHL, Medline, ProQuest, EMBASE, PsycINFO, Cochrane, Web of Science and Communication & Mass Media Complete) were searched from 2000 to present using a comprehensive search strategy. Study eligibility criteria were based on the PICOS format, where "population" included child or adult populations, including healthy and disease populations; "intervention" involved behavior change interventions targeting key modifiable health behaviors (tobacco and alcohol consumption, dietary intake, physical activity, and sedentary behavior) delivered either wholly or in part using online social networks; "comparator" was either a control group or within subject in the case of pre-post study designs; "outcomes" included health behavior change and closely related variables (such as theorized mediators of health behavior change, eg, self-efficacy); and "study design" included experimental studies reported in full-length peer-reviewed sources. Reports of intervention effectiveness were summarized and effect sizes (Cohen's d and 95% confidence intervals) were calculated wherever possible. Attrition (percentage of people who completed the study), engagement (actual usage), and fidelity (actual usage/intended usage) with the social networking component of the interventions were scrutinized.

resultsA total of 2040 studies were identified from the database searches following removal of duplicates, of which 10 met inclusion criteria. The studies involved a total of 113,988 participants (ranging from n=10 to n=107,907). Interventions included commercial online health social network websites (n=2), research health social network websites (n=3), and multi-component interventions delivered in part via pre-existing popular online social network websites (Facebook n=4 and Twitter n=1). Nine of the 10 included studies reported significant improvements in some aspect of health behavior change or outcomes related to behavior change. Effect sizes for behavior change ranged widely from -0.05 (95% CI 0.45-0.35) to 0.84 (95% CI 0.49-1.19), but in general were small in magnitude and statistically non-significant. Participant attrition ranged from 0-84%. Engagement and fidelity were relatively low, with most studies achieving 5-15% fidelity (with one exception, which achieved 105% fidelity).

conclusionsTo date there is very modest evidence that interventions incorporating online social networks may be effective; however, this field of research is in its infancy. Further research is needed to determine how to maximize retention and engagement, whether behavior change can be sustained in the longer term, and to determine how to exploit online social networks to achieve mass dissemination. Specific recommendations for future research are provided.

Indexed as

Health BehaviorInternetSocial SupportAdultChildHealth PromotionHumansbehavior changeInternetinterventionphysical activitysocial networksystematic reviewweight loss

Identifiers

PMID24550083
PMCPMC3936265
OpenAlexW1971256347

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.